Adaptive quasi-sliding mode control for discrete-time multivariable systems

Xinkai Chen, Toshio Fukuda

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

In this paper, the discrete-time adaptive quasi-sliding mode control for multivariable systems with perturbations and partial model uncertainties is studied. Even though no a priori knowledge of the perturbations is required, the dead-zone function is constructed based on the on-line estimates of the upper bound of the perturbations. By applying the adaptation algorithm with dead-zone, the unknown model parameters are estimated. Then, a discrete quasi-sliding mode adaptive controller with no chattering is synthesized to guarantee the global stability of the closed-loop systems in the sense that all signals remain bounded. If some information of the perturbations is known, the controller can be modified to improve the performance of the controlled systems. Examples and simulation results are presented to illustrate the proposed algorithms.

Original languageEnglish
Pages (from-to)133-140
Number of pages8
JournalInternational Journal of Control
Volume72
Issue number2
Publication statusPublished - 1999 Jan 20
Externally publishedYes

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Multivariable systems
Sliding mode control
Controllers
Closed loop systems
Uncertainty

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Adaptive quasi-sliding mode control for discrete-time multivariable systems. / Chen, Xinkai; Fukuda, Toshio.

In: International Journal of Control, Vol. 72, No. 2, 20.01.1999, p. 133-140.

Research output: Contribution to journalArticle

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